no code implementations • 25 Mar 2024 • Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan
The former indicates that representation collapse in local model will subsequently impact the global model and other local models.
no code implementations • 2 Mar 2024 • Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su
When conducting continual learning based on a publicly-released LLM checkpoint, the availability of the original training data may be non-existent.
no code implementations • 23 Nov 2023 • Mengling Hu, Chaochao Chen, Weiming Liu, Xinyi Zhang, Xinting Liao, Xiaolin Zheng
However, most existing graph clustering methods focus on node-level clustering, i. e., grouping nodes in a single graph into clusters.
no code implementations • 23 Nov 2023 • Mengling Hu, Chaochao Chen, Weiming Liu, Xinting Liao, Xiaolin Zheng
The robust short text clustering module aims to train an effective short text clustering model with local data in each client.
no code implementations • 17 Aug 2023 • Xinting Liao, Chaochao Chen, Weiming Liu, Pengyang Zhou, Huabin Zhu, Shuheng Shen, Weiqiang Wang, Mengling Hu, Yanchao Tan, Xiaolin Zheng
In server, GNE reaches an agreement among inconsistent and discrepant model deviations from clients to server, which encourages the global model to update in the direction of global optimum without breaking down the clients optimization toward their local optimums.
no code implementations • 26 Jul 2023 • Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
Firstly, HPTI in the server constructs uniformly distributed and fixed class prototypes, and shares them with clients to match class statistics, further guiding consistent feature representation for local clients.
1 code implementation • 23 May 2023 • Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao
To tackle the above issues, we propose a Robust Short Text Clustering (RSTC) model to improve robustness against imbalanced and noisy data.
no code implementations • 11 May 2023 • Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen
Privacy-preserving cross-domain recommendation (PPCDR) refers to preserving the privacy of users when transferring the knowledge from source domain to target domain for better performance, which is vital for the long-term development of recommender systems.